interval estimation 中文意思是什麼

interval estimation 解釋
區間估計
  • interval : n 1 （空間方面的）間隔；空隙。2 （時間方面的）間隔，間歇；工間休息，幕間休息。3 【軍事】（各小隊...
  • estimation : n. 1. 估計，評價。2. 預算，預算額；概算。3. 尊重，尊敬。4. 意見，判斷。5. 【化學】估定；測定。
  1. Interval estimation of parameter in binomial distribution

    二項分佈參數的區間估計
  2. In order to improve the efficiency of classification based on feature matching, the method of azimuth estimation from sar image is studied. a method of target ' s azimuth estimation from sar image using peak featur e based on linear regression is proposed, besides goodish estimation accuracy and high computation efficiency, it can also provide the confidence interval of the estimation, which can meet the need of model - based sar atr system that uses feature very well

    為了提高基於特徵匹配的saratr系統的分類效率，論文進一步研究了sar圖像目標方位角估計方法，提出了一種利用峰值特徵基於線性回歸的sar目標方位角估計方法，該方法除了具有計算速度快、估計精度較高的特點之外，還能在估計方位角的同時，給出該估計的置信區間，從而能更好地滿足利用特徵基於模型saratr系統的需要。
  3. Abstract : since the multiple failures situation is not uncommon in the clinical medicine, we explore the use of proportional odds model to the multivariate interval - censored data. the approach is based on the conditional logistic regression, which prevents the complications in the existence of nuisance parameters. the estimation of parameters is obtained by the newton - raphson algorithm. the sandwith estimator for the covariance is made according to the situation where there is correlation in the score statistic. simulations are also presented to assess the accuracy of the procedure

    文摘:探索比例優勢模型在臨床醫學中常見的多結局區間截斷數據中的應用.用條件的邏輯回歸方法避免討厭參數的估計，用牛頓-拉普森演算法估計回歸系數，用"夾心方差"估計量作為參數方差的估計.通過隨機模型檢驗模型應用的有效性
  4. Moreover, when the parameter is chosen in a certain interval, it is proved that the generalized d - gap function g has bounded level sets for the strongly monotone vip. an error bound estimation of the algorithm is obtained, which partially gives an answer to the question raised by yamashita ( 1997 ) et al

    更進一步，當廣義d -間隙函數g _ （ ）中的參數取值于某一區間時，證明了函數g _ （ ）對于強單調變分不等式而言，具有有界的水平集，同時，給出了演算法的一個誤差界估計，它部分回答了yamashita等人提出的一個問題。
  5. Estimation of postmortem interval using myofibril fragmentation index

    利用肌原纖維小片化指數推斷死亡時間
  6. ( 2 ) based on the review and analysis of typical object detection methods, especially the temporal difference, a moving objects detection algorithm based on three frame difference is proposed. this algorithm employs many new technologies, such as adaptive frame interval, half - pixel global motion estimation and compensation, adaptive change detection and object repair, therefore it is very practical

    2 .在總結常用運動目標檢測方法，並詳細討論時間差分法的基礎上，針對實地拍攝的紅外圖像序列，提出了一種基於三幀差分的運動目標檢測演算法，該演算法採用自適應幀間隔、半象素全局運動估計與補償、自適應變化區域檢測、抗噪聲形態學處理和目標修復等一系列新技術，具有很強的實用性。
  7. By using rank statistic and order statistic, we obtain the asymptotically strongly consistent estimator of it, the hypothesis test and interval estimation are also discussed

    利用秩統計量和次序統計量，獲得了變點的一種估計，不僅論證了點估計的強相合性，而且討論了假設檢驗和區間估計。
  8. Statistical interpretation of data - interval estimation of parameter in binomial distribution

    數據的統計處理和解釋二項分佈參數的區間估計
  9. A multisensor convex linear statistic fusion modal for optimal interval estimation fusion is established. a gauss - seidel iteration computation method for searching for the fusion weights is suggested. in particular, we suggest convex combination minimum variance fusion that reduces huge computation of fusion and yield approximately optimal estimate performance generally, moreover, may achievers exactly optimal performance in some cases

    建立了一種最優區間估計融合模型? ?多傳感器凸線性組合，並給出搜索最優權系數的gauess - seidel迭代演算法，另外，給出了一種近似的區間估計融合? ?凸線性組合的最小方差融合，它能減少大量的計算量。
  10. Test and interval estimation of satisfaction survey result

    滿意度調查結果的假設檢驗與區間估計
  11. System marginal price prediction and confidence interval estimation with - support vector machine

    生物組織凍結相變過程的數值模擬
  12. ( 2 ) the point estimation and interval estimation of parameters under type - censored case and the point estimation of parameters based on the missing data and grouped data are obtained, respectively

    （ 2 ）定時截尾場合下參數的點估計和區間估計以及缺失數據和分組型數據埸合下參數的點估計。
  13. Bayes interval estimation of linear regression model parameters

    線性回歸模型參數的貝葉斯區間估計
  14. About and of two normal distribution and of gamma distribution. when sample size is not large, conclusion shows that the precision of the interval estimation of parameter is remarkably increasing if the data from tables in this paper are used

    通過計算比較，得出結論：在小樣本的情況下，用本文所求的置信區間作為未知參數的區間估計將會使估計精度得到顯著的提高。
  15. Latest progresses on some fundamental and important problems about information fusion in sensor networks are presented, including the multisensor distributed decision in the most general case in the sense of globally optimal fusion ; the optimal dimension compression of the sensor observations or local estimates ; the best linear unbiased estimation fusion formula and the efficient iterative algorithm ; the distributed kalman filtering fusion for the multisensor dynamic systems with cross - correlated sensor noises ; and the fault - tolerant interval estimation fusion

    摘要系統地闡述了傳感器網路環境中幾個基本而又重要的信息融合問題的最近進展，包括：最一般條件下全局最優的多傳感器分散式統計判決；傳感器觀測數據或局部估計的最優維數壓縮；一般條件下最優線性無偏估計融合公式及其有效演算法；傳感器觀測噪聲相關情形下動態系統的卡爾曼濾波融合；容錯條件下的區間估計融合。
  16. Thus a new small sample based system reliability confidence interval estimation method is offered under the assumption that the system follows normal or log normal distribution

    由此提出了小子樣下的系統可靠性置信區間估計新方法，該方法只假設系統可靠性估計服從正態或對數正態分佈。
  17. The main results are listed as follows : ( l ) we present the inverse moment estimations and approximate maximum likelihood estimations of parameters, and then we examine the accuracy of the amle, mle and interval estimations. moreover we derive the method to get interval estimation of the shape parameter

    主要結果如下： （ 1 ）給出了參數的近似極大似然估計（ amle ）和逆矩估計，比較了amle 、 mle和逆矩估計的精度，另外給出了求形狀參數區間估計的方法。
  18. Interval estimation of stock ' s inherent value

    股票內在價值的區間估計
  19. Interval estimation of normal mean with respect to asymmetric loss function

    非對稱損失下正態均值的區間估計
  20. We consider multisensor statistical interval estimation fusion for the purpose of estimation of a parameter

    在多傳感器分散式估計融合方面，我們考慮了對參數的多傳感器區間估計融合。
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